- Better RFP specifications lead to better proposals, pricing, timelines, and accountability.
- The protocol is not the specification, define the operational assumptions CROs need to price and plan accurately.
- Separate requirements, assumptions, and CRO recommendations so proposals can be compared consistently.
- Standardize bid grids and key assumptions while still allowing CROs to propose differentiated solutions.
- Surface exclusions, dependencies, and hidden assumptions early, these are often the source of future change orders.
- Build uncertainty into the RFP with scenarios for sites, countries, enrollment, timelines, and amendments.
- Use the RFP and bid defense to test how the CRO thinks, not just what they charge.
- Carry proposal commitments into the contract, governance plan, KPIs, and operating model.
- The goal is not simply a better bid, it is better communication, fewer surprises
Archives: Agenda
Unlocking better protocols: How ICON and Advarra reduce delays, amendments and costs
- Identify protocol risks earlier through integrated clinical, operational and site-level perspectives.
- Design more executable studies by aligning protocol ambition with real-world site and patient needs.
- Reduce avoidable delays, amendments and costs by building feasibility into the protocol from the outset.
Afternoon networking, prize draw and closing remarks
Sponsored by EmVenio
Addressing the Specialized Needs of Pediatric Clinical Trials
- The Adult-Pediatric mediation gap in Immunology
- Barriers to clinical research in children
- How CROs provide solutions to the obstacles of pediatric clinical research
Building a Flexible Site Liaison Model to Strengthen Partnerships, Align Stakeholders and Ensure Clinical Trials are Mutually Beneficial for Everyone
- Bringing the site voice to study design: Partnering with investigators during protocol development to reduce amendments, deviations, and operational friction
- Preventing problems before they happen: Using real-world site feedback to proactively adjust study design and execution
- Acting as the connective driver between sponsor, CRO, and sites to ensure alignment, accountability, and continuity across the trial lifecycle
- Lessons from a lean biotech: Stepping beyond defined roles and filling operational gaps, ensuring data flow and maintaining patient safety
- Redefining success by measuring the unquantifiable impact of strong site relationships on recruitment, retention, and overall trial performance
FIRESIDE CHAT Quality Beyond Compliance: Embedding Risk-Based QA in Modern Clinical Trials
- Embedding QA from day one: Shifting Quality from a reactive, inspection driven process to proactive design and execution
- Leveraging RBQM frameworks and real time data analytics to anticipate issues, prioritize oversight, and make informed decisions
- Integrating emerging technologies to streamline inspection readiness and improve data integrity
- Applying quality tolerance limits (QTLs), analytics, and cross functional strategies to drive quality forward, reduce deviation risk, and strengthen regulatory confidence
- Delivering future-ready QA practices aligned with ICH expectations to sustain a quality culture
Moderator: Lois Wallace, Senior Manager, Clinical Development, SERB Pharmaceuticals
Lunch and networking
Building Cross Connects: How Clinical Professionals Can Bridge Functions, Data, and AI to Lead the Transition
- Building cross-functional fluency across clinical operations, biometrics, medical affairs and commercial to identify where AI can create value between functions
- Developing boundary-spanning skills by learning enough of each function’s language to translate needs and priorities across teams
- Testing ideas through rapid AI prototyping using LLMs and low-code tools to demonstrate what’s possible
- Partnering across IT, data science and vendors to transform successful prototypes into governed, audit-ready solutions and move from AI-curious to leading an initiative within 90 days
From Zero To AI: Implementing and Scaling AI on a Budget for Smaller, Leaner Biotechs
- Strategies for embedding AI tools into everyday workflows and gaining buy-in across cross-functional teams
- Practical lessons for small biotech companies transitioning from experimentation to enterprise-level AI capabilities
- Why data quality, governance, and integrated systems must be established before AI can deliver meaningful insights
- Identifying realistic use cases where AI can support decision-making, forecasting, and operational oversight in drug development